Big Data in Agriculture (Jan 2022)

GENETIC VARIABILITY AND ASSOCIATION AMONG YIELD AND YIELD COMPONENTS OF WHEAT GENOTYPES (Triticum Aestivum L.)

  • Asha Thapa,
  • Sushil Jaisi,
  • Mukti Ram Poudel

DOI
https://doi.org/10.26480/bda.01.2022.01.07
Journal volume & issue
Vol. 4, no. 1
pp. 01 – 07

Abstract

Read online

The demand for wheat will be increased 60 % compared to existing by 2050 and the wheat productivity of Nepal is lower than world’s average productivity. Therefore, it is important to increase the yield potentiality of wheat. This research was conducted for the estimation of variability and association among yield and yield components of wheat. The experimental field was designed in alpha lattice design with 20 diverse wheat genotypes considering 12 important traits. In variability analysis, thousand kernel weight (TKW) had maximum values for the genotypic coefficient of variance (GCV) (11.83%) and phenotypic coefficient of variance (PCV) (12.14%) indicating the presence of high variation in TKW. The number of spikes/m2 (NSPM) and grain yield (GY) showed higher values for heritability (82.62% and 58.95%) and GA (73.36 and 456.25). These traits have additive gene action and are less affected by the environmental condition. Plant height (PH) had significant positive correlation with GY (0.346) and chlorophyll showed highly significant negative correlation with GY (-0.448). NSPM and PH had a maximum positive direct effect (0.375 and 0.347), chlorophyll content had maximum negative direct effect (-0.234) and days to heading (DTH) and days to anthesis (DTA) showed a positive indirect effect on GY. The selection of genotypes with higher values of PH and NSPM along with moderate or low chlorophyll content is a prerequisite for attaining a higher yield in wheat. Genotypes having longer DTH, DTA and days to maturity (DTM) should be considered during selection of genotypes to obtain higher yield.

Keywords